Abstract
Time non-homogeneous Feller-type and Ornstein-Uhlenbeck diffusion processes are considered for modeling the neuronal activity in the presence of time-varying input signals. In particular, the first passage time (FPT) problem is analyzed for both processes and the averages of FPT through a constant boundary are compared for a constant input signal and for different choices of involved parameters.
This paper is partially supported by G.N.C.S.- INdAM and Campania Region.
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Nobile, A.G., Pirozzi, E. (2015). On Time Non-homogeneous Feller-Type Diffusion Process in Neuronal Modeling. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_24
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DOI: https://doi.org/10.1007/978-3-319-27340-2_24
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